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> transforming an input into an output based on what inputs that part of the brain has previously been exposed to

You changed the definition there, for it to be like an LLM it should be:

> transforming an input into an output trying to mimic inputs that part of the brain has previously been exposed to

Anyone can see how that limits you a lot, and why that makes it so much harder for LLM to learn things properly than it is for humans.

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Well no, you changed the definition. LLMs don't just mimic what they've been trained on. They mimic what they're rewarded for. Like a brain!

Pre-training is just direct mimicry. A pre-trained LLM is very stupid and mostly useless. To become useful they are post-trained with a reward function.

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